SOTAVerified

Domain Adaptation

Domain Adaptation is the task of adapting models across domains. This is motivated by the challenge where the test and training datasets fall from different data distributions due to some factor. Domain adaptation aims to build machine learning models that can be generalized into a target domain and dealing with the discrepancy across domain distributions.

Further readings:

( Image credit: Unsupervised Image-to-Image Translation Networks )

Papers

Showing 23012350 of 6439 papers

TitleStatusHype
Rethinking Image Restoration for Object DetectionCode1
Semi-Supervised Domain Adaptation for Cross-Survey Galaxy Morphology Classification and Anomaly DetectionCode1
Unified Optimal Transport Framework for Universal Domain AdaptationCode1
Improving Cause-of-Death Classification from Verbal Autopsy Reports0
Generate, Discriminate and Contrast: A Semi-Supervised Sentence Representation Learning FrameworkCode1
Distributionally Robust Domain Adaptation0
Single-Shot Domain Adaptation via Target-Aware Generative AugmentationCode0
Few-shot Image Generation via Adaptation-Aware Kernel ModulationCode1
Domain Adaptation of Machine Translation with Crowdworkers0
Stanceosaurus: Classifying Stance Towards Multilingual Misinformation0
Nonparallel High-Quality Audio Super Resolution with Domain Adaptation and Resampling CycleGANsCode1
Subsidiary Prototype Alignment for Universal Domain Adaptation0
Joint Semantic Transfer Network for IoT Intrusion Detection0
A Knowledge Distillation Framework For Enhancing Ear-EEG Based Sleep Staging With Scalp-EEG DataCode1
Robust Monocular Localization of Drones by Adapting Domain Maps to Depth Prediction Inaccuracies0
Domain Adaptive Object Detection for Autonomous Driving under Foggy WeatherCode1
Iterative pseudo-forced alignment by acoustic CTC loss for self-supervised ASR domain adaptationCode0
A few-shot learning approach with domain adaptation for personalized real-life stress detection in close relationshipsCode0
Efficient Utilization of Large Pre-Trained Models for Low Resource ASR0
Robust Domain Adaptation for Pre-trained Multilingual Neural Machine Translation Models0
N-gram Is Back: Residual Learning of Neural Text Generation with n-gram Language ModelCode1
Embedding neurophysiological signalsCode0
Adversarial Domain Adaptation for Action Recognition Around the Clock0
Parameter-Efficient Legal Domain Adaptation0
Revisiting Softmax for Uncertainty Approximation in Text Classification0
On Fine-Tuned Deep Features for Unsupervised Domain Adaptation0
WDA-Net: Weakly-Supervised Domain Adaptive Segmentation of Electron MicroscopyCode0
IT-RUDA: Information Theory Assisted Robust Unsupervised Domain Adaptation0
Theoretical Guarantees for Domain Adaptation with Hierarchical Optimal Transport0
Manifold Alignment with Label Information0
Deep domain adaptation for polyphonic melody extraction0
m^4Adapter: Multilingual Multi-Domain Adaptation for Machine Translation with a Meta-AdapterCode1
AugCSE: Contrastive Sentence Embedding with Diverse AugmentationsCode1
ConfMix: Unsupervised Domain Adaptation for Object Detection via Confidence-based MixingCode1
Comparing Machine Learning Techniques for Alfalfa Biomass Yield PredictionCode0
QA Domain Adaptation using Hidden Space Augmentation and Self-Supervised Contrastive AdaptationCode0
OpenEarthMap: A Benchmark Dataset for Global High-Resolution Land Cover Mapping0
Deep-based quality assessment of medical images through domain adaptation0
Variational Model Perturbation for Source-Free Domain AdaptationCode0
Learning Transferable Adversarial Robust Representations via Multi-view Consistency0
Simple and Effective Unsupervised Speech Translation0
Domain Adaptation in 3D Object Detection with Gradual Batch Alternation Training0
Towards Domain-Independent Supervised Discourse Parsing Through Gradient Boosting0
Curriculum Reinforcement Learning using Optimal Transport via Gradual Domain AdaptationCode1
Towards Understanding GD with Hard and Conjugate Pseudo-labels for Test-Time Adaptation0
Enabling Heterogeneous Domain Adaptation in Multi-inhabitants Smart Home Activity Learning0
Real-Time Multi-Modal Semantic Fusion on Unmanned Aerial Vehicles with Label Propagation for Cross-Domain Adaptation0
Semi-Supervised Domain Adaptation with Auto-Encoder via Simultaneous Learning0
Using Language to Extend to Unseen DomainsCode1
HyperDomainNet: Universal Domain Adaptation for Generative Adversarial NetworksCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1FFTATAverage Accuracy96Unverified
2PMTransAverage Accuracy95.3Unverified
3CMKDAverage Accuracy94.4Unverified
4SSRT-B (ours)Average Accuracy93.5Unverified
5CDTransAverage Accuracy92.6Unverified
6CoViAverage Accuracy91.8Unverified
7GSDEAverage Accuracy91.7Unverified
8FixBiAverage Accuracy91.4Unverified
9Contrastive Adaptation NetworkAverage Accuracy90.6Unverified
10BIWAAAverage Accuracy90.5Unverified
#ModelMetricClaimedVerifiedStatus
1HALOmIoU78.1Unverified
2ILM-ASSLmIoU76.6Unverified
3DCFmIoU69.3Unverified
4HRDA+PiPamIoU68.2Unverified
5MICmIoU67.3Unverified
6FREDOM - TransformermIoU67Unverified
7HRDAmIoU65.8Unverified
8SePiComIoU64.3Unverified
9MIC + Guidance TrainingmIoU63.8Unverified
10DAFormer + ProCSTmIoU61.6Unverified
#ModelMetricClaimedVerifiedStatus
1HALOmIoU77.8Unverified
2DCFmIoU77.7Unverified
3ILM-ASSLmIoU76.1Unverified
4MICmIoU75.9Unverified
5HRDA+PiPamIoU75.6Unverified
6HRDAmIoU73.8Unverified
7FREDOM - TransformermIoU73.6Unverified
8HALOmIoU73.3Unverified
9SePiComIoU70.3Unverified
10DAFormer + ProCSTmIoU69.4Unverified
#ModelMetricClaimedVerifiedStatus
1SWGAccuracy92.3Unverified
2RCLAccuracy90Unverified
3PGA (ViT-L/14)Accuracy89.4Unverified
4PMTransAccuracy89Unverified
5CMKDAccuracy89Unverified
6MICAccuracy86.2Unverified
7PGA (ViT-B/16)Accuracy85.1Unverified
8ELSAccuracy84.6Unverified
9SDAT (ViT-B/16)Accuracy84.3Unverified
10CDTrans (DeiT-B)Accuracy80.5Unverified
#ModelMetricClaimedVerifiedStatus
1FFTATAccuracy93.8Unverified
2RCLAccuracy93.2Unverified
3MICAccuracy92.8Unverified
4SWGAccuracy92.7Unverified
5CMKDAccuracy91.8Unverified
6DePTAccuracy90.7Unverified
7SDAT(ViT)Accuracy89.8Unverified
8SFDA2++Accuracy89.6Unverified
9PMtransAccuracy88.8Unverified
10CoViAccuracy88.5Unverified
#ModelMetricClaimedVerifiedStatus
1CMKDAccuracy94.3Unverified
2MCC+NWDAccuracy90.7Unverified
3GLOT-DRAccuracy90.4Unverified
4SPLAccuracy90.3Unverified
5DFA-SAFNAccuracy90.2Unverified
6DADAAccuracy89.3Unverified
7DFA-ENTAccuracy89.1Unverified
8MEDMAccuracy88.9Unverified
9DDAAccuracy88.9Unverified
10IAFN+ENTAccuracy88.9Unverified
#ModelMetricClaimedVerifiedStatus
1SoRAmIoU78.8Unverified
2ReinmIoU77.6Unverified
3CoDAmIoU72.6Unverified
4Refign (HRDA)mIoU72.1Unverified
5HALOmIoU71.9Unverified
6MICmIoU70.4Unverified
7HRDAmIoU68Unverified
8Refign (DAFormer)mIoU65.5Unverified
9VBLC (DAFormer)mIoU64.2Unverified
10CMFormermIoU60.1Unverified
#ModelMetricClaimedVerifiedStatus
1FACTAccuracy98.8Unverified
2FAMCDAccuracy98.72Unverified
3DFA-MCDAccuracy98.6Unverified
4Mean teacherAccuracy98.26Unverified
5DRANetAccuracy98.2Unverified
6SHOTAccuracy98Unverified
7DFA-ENTAccuracy97.9Unverified
8CyCleGAN (Light-weight Calibrator)Accuracy97.1Unverified